## How do you find the MAX function in Matlab?

M = max( A ) returns the maximum elements of an array.

- If A is a vector, then max(A) returns the maximum of A .
- If A is a matrix, then max(A) is a row vector containing the maximum value of each column of A .

## What is the range of randn in Matlab?

between 0 and 1

By default, rand returns normalized values (between 0 and 1) that are drawn from a uniform distribution.

**What does randn function do in Matlab?**

X = randn returns a random scalar drawn from the standard normal distribution. X = randn( n ) returns an n -by- n matrix of normally distributed random numbers.

**What is the range of Gaussian distribution?**

For data having a Gaussian distribution, the normal range is defined as the range of values lying between the limits specified by two standard deviations below the mean and two standard deviations above (Fig. 2.1).

### How do I use Normrnd in MATLAB?

r = normrnd( mu , sigma ) generates a random number from the normal distribution with mean parameter mu and standard deviation parameter sigma . r = normrnd( mu , sigma , sz1,…,szN ) generates an array of normal random numbers, where sz1,…,szN indicates the size of each dimension.

### Is randn a Gaussian?

The Matlab command randn generates samples of a Gaussian distributed random variable with mean 0 and variance 1. To obtain a mean other than zero, just add or subtract a constant from the generated vector.

**What does randn do in octave?**

By default, randn uses the Marsaglia and Tsang “Ziggurat technique” to transform from a uniform to a normal distribution. The class of the value returned can be controlled by a trailing “double” or “single” argument. These are the only valid classes.

**What is the difference between Rand and randn in octave?**

rand() Return a matrix with random elements uniformly distributed on the interval (0, 1). The arguments are handled the same as the arguments for `eye’. randn() Return a matrix with normally distributed pseudo-random elements having zero mean and variance one.

## What is the difference between Randi and Rand?

rand() , randn() , randi() create random matrices of size n x m , where the default is square matrices if m is missing. rand() uses the uniform distribution on ]0, 1[ , while randn() uses the normal distribution with mean 0 and standard deviation 1. randi() generates integers between imax[1] and imax[2] resp.

## What is randn function in MATLAB?

In this function inside the brackets, we can give dimensions of output; it can be single dimension or multi-dimension. Values are distributed as per the user’s requirements. Given below are the examples of Matlab randn:

**What are the inputs to the randn function not recommended?**

The ‘seed’, ‘state’, and ‘twister’ inputs to the randn function are not recommended. Use the rng function instead. For more information, see Replace Discouraged Syntaxes of rand and randn.

**What does randn X mean in Python?**

X = randn (sz) returns an array of random numbers where size vector sz defines size (X) . For example, randn ( [3 4]) returns a 3-by-4 matrix. X = randn ( ___,typename) returns an array of random numbers of data type typename .

### What does randn (SZ) return in Python?

X = randn (sz) returns an array of random numbers where size vector sz defines size (X). For example, randn ([3 4]) returns a 3-by-4 matrix.